SUPPLY CHAIN ARTICLES

• Picasso, Pick-Up Lines, & Personalized Medicine: mRNA's Path Forward

  Overall, my presentation on what the mRNA industry can learn from the artist Picasso singled out a few specific areas from which I felt our industry could garner greater inspiration and operational prowess. But given how “collaborative” many of these sources of inspiration are, I’ve introduced each of my takeaways with a surprisingly relevant (albeit bad) art-themed pick-up line. After all, if there’s one sector that knows it takes more than one to “tango,” it’s the mRNA industry.

• “Holy T7 Polymerase, Batman!”: R&D Considerations For More Awe-Inspiring xRNA

  It goes without saying we have some pretty ambitious therapeutic goals for linear mRNA and next-gen saRNA and circRNA. However, as my conversation with Koeris explored, we still have a lot of scientific and technical work/innovation ahead of us to make our RNA products “stronger” (in more ways than one).

• Assessing Quality Of mRNA Vaccines: Key Considerations

  To address the need for standards for mRNA vaccines, the United States Pharmacopeia (USP) has convened vaccine experts to identify important quality attributes and to propose test methods that can be used to assess mRNA vaccine products. This article shares those CQAs and analytical procedure tips.

• Plasmid Production: 3 Key Takeaways For mRNA Manufacturing

  Following my latest Live panel on analytical and manufacturing technology innovations for mRNA production, I wanted to provide a few high-level takeaways I gleaned from our discussion on the overlooked darling of the mRNA space: The plasmid. 

• 4 Risk Mitigation Strategies For mRNA Production

  Planning and procuring custom materials needed to manufacture mRNA remains a top concern. This article shares risk mitigation strategies for multi-sourcing, S&OP process, packaging size, and material expiry.

• FDA Sets Recommendations For Predicting Dangerous Nitrosamine Impurities

  The FDA recently published a final guidance that sets a recommended framework for predicting the potential of nitrosamine drug substance-related impurities.